项目负责人

刘永刚

项目来源

国家自然科学基金委

信息公开情况

公开内容

公开方式

公开时间

资金相关信息（预决算、预算调剂、资金使用）

本项目预算在执行过程中无调整；无外拨资金；无单价50万元以上的设备。各项预算具体执行情况如下：

1、设备费支出：6.8196万，其中：设备购置费：6.8196万，设备改造费0万元；设备费结余0.1804万，结余比例2.57%。

2、材料费：6.441211万；材料费结余1.158789万，结余比例15.25%，基本按预算执行。

3、测试化验加工费：7.9万；测试化验加工费结余0.10万元，结余比例1.25%，基本按预算执行。

4、燃料动力费：无；主要原因是实验过程中均在重庆大学机械传动国家重点实验室进行，所有燃料动力费均有实验室承担，故本项预算未执行。

5、差旅/会议/国际合作与交流费：9.789844万，其中，差旅费：9.789844万，会议费：0.00万；国际合作与交流费：0.00万；差旅/会议/国际合作与交流费超支0.489844万元，超支比例：5.27%，基本按预算执行。

6、出版/文献/信息传播/知识产权事务费：4.613507万；结余2.886493万元，结余38.49%，其中发表的大多数英文期刊免收版面费，所以结余比例过大，后续将继续用于专利和论文支出。

7、劳务费：18.5750万；结余0.025万元，结余比例0.13%，基本按预算执行。

8、专家咨询费：0.0000万，执行数：0.0000万。按计划执行。

9、管理费：3.8250万；主要原因是重庆大学收取管理费。

10、绩效支出费：11.4750万；主要原因是绩效支出费用。

本项目在结题时结余3.860838万元。

二级单位

公示

2026.02.28-2026.03.06

研究成果概况（限300字）

依托该项目的支持，本人以第一作者/通讯作者，发表高水平 SCI 期刊论文20篇，发表会议论文5篇，授权发明专利6项，申请发明专利1项。在科研奖励方面获得省部级科技进步奖二等奖1项（序1）、自然科学奖二等奖1项（序2）。在人才培养方面，依托本项目培养并毕业博士生2名，毕业硕士研究生12名，在读博士研究生1名。

二级单位

公示

2026.02.28-2026.03.06

研究成果清单（包括：论文、专著、专利、标准、软件著作权等，详细内容可另附件）

期刊论文（20篇）

① 第一作者

[1] Yonggang Liu; Yitao Wu; Xiangyu Wang; Liang Li; Yuanjian Zhang; Zheng Chen; Energy management for hybrid electric vehicles based on imitation reinforcement learning, Energy, 2022, 263(125890).

[2] Yonggang Liu; Dekun Gao; Kening Zhai; Qi Huang; Zheng Chen; Yi Zhang; Coordinated control strategy for braking and shifting for electric vehicle with two-speed automatic transmission, eTransportation, 2022, 13：100188.

[3] Yonggang Liu; Bo Yang; Yufei Zhang; Rongheng Li; Zheng Chen; Xuan Zhou; Design and application: Simplified electrochemical modeling for Lithium-ion batteries in whole lifespan, Journal of Energy Storage, 2023, 74：109496.

② 通讯作者（与第一作者论文不重复）

[1] Ziyou Zhou; Yonggang Liu; Mingxing You; Rui Xiong; Xuan Zhou; Two-stage Aging Trajectory Prediction of LFP Lithium-ion Battery Based on Transfer Learning with the Cycle Life Prediction, Green Energy and Intelligent Transportation, 2022, 1(1)：100008.

[2] Wenjun Pan; Yitao Wu; Yao Tong; Jie Li; Yonggang Liu; Optimal rule extraction-based real-time energy management strategy for series-parallel hybrid electric vehicles, Energy Conversion and Management, 2023, 293：117474.

[3] Jie Li; Abbas Fotouhi; Wenjun Pan; Yonggang Liu; Yuanjian Zhang; Zheng Chen; Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties, Energy, 2023, 279：128139.

[4] Jie Li; Yonggang Liu; Abbas Fotouhi; Xiangyu Wang; Zheng Chen; Yuanjian Zhang; Liang Li; Cooperative Ecological Adaptive Cruise Control for Plug-In Hybrid Electric Vehicle Based on Approximate Dynamic Programming, IEEE Transactions on Vehicular Technology, 2023, 72(3)：3132-3145.

[5] Shuai Liu; Fan Ren; Ping Li; Zhijie Li; Hao Lv; Yonggang Liu; Testing Scenario Identification for Automated Vehicles Based on Deep Unsupervised Learning, World Electric Vehicle Journal, 2023, 14(8)：208.

[6] Jie Li; Yonggang Liu; Jun Cheng, et al. Eco-driving control for connected plug-in hybrid electric vehicles in urban scenarios with enhanced lane change engagement[J]. Energy, 2024, 310: 133294.

[7] Ziyou Zhou; Yonggang Liu; Zhigang Zhao; Huan Xia; Zheng Chen; Yuanjian Zhang; Automatic Feature Extraction Enabled Lithium-Ion Battery Capacity Estimation Using Random Fragmented Charging Data, IEEE Transactions on Transportation Electrification, 2024, 1-1.

[8] Haotian Zhang; Yali Yu; Yonggang Liu; Fengyang Jiang; Zheng Chen; Yuanjian Zhang; Efficient Path Planning and Tracking Control of Autonomous Vehicles in Park Scenarios Based on Sparrow Search and Stepwise Prediction, IEEE Transactions on Transportation Electrification, 2024, 1-1.

[9] Jie Li; Xiaodong Wu; Min Xu; Yonggang Liu; Multi-objective eco-driving strategy for connected and automated electric vehicles considering complex urban traffic influence factors, IEEE Transactions on Transportation Electrification, 2024, 10(4): 10043-10058.

[10] Jie Li; Abbas Fotouhi; Yonggang Liu; Yuanjian Zhang; Zheng Chen; Review on eco-driving control for connected and automated vehicles, Renewable and Sustainable Energy Reviews, 2024, 189：114025.

[11] Jianjun Cai; Yonggang Liu; Yuanjian Zhang; Shiquan Shen; Zhenzhen Lei; Zheng Chen. Hierarchical cooperative eco-driving optimization for multidimensional mixed vehicles at signalized intersections[J]. Energy, 2025, 325: 136174.

[12] Jie Li; Xiaodong Wu; Xianxu Bai; Yonggang Liu; Min Xu. Intelligent Eco-Driving Control for Urban CAVs Using a Model-Based Controller Assisted Deep Reinforcement Learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2025.

[13] Yuan Jia; Yonggang Liu; Yuanjian Zhang; Zheng Chen; Yi Zhang. Longitudinal-vertical integrated cooperative control of distributed drive electric vehicle considering optimization of energy economy and comfort[J]. Energy, 2025: 139250.

[14] Jianjun Cai; Wenjun Pan; Yang Li; Wenwei Que; Xiutao Chen; Yonggang Liu. Integrated Schedule and Speed Optimization for Heterogeneous Multiple Vehicles at Intelligent Signal-Free Intersections[J]. IEEE Transactions on Vehicular Technology, 2025.

[15] Yuan Jia, Yonggang Liu, Yuanjian Zhang, Zheng Chen, Zhenzhen Lei, Yi Zhang. Lane changing enabled eco-driving control for plug-in hybrid electric vehicle under consecutive signalized intersection conditions[J/OL]. Green Energy and Intelligent Transportation，2026，5（1）：100311.

[16] Yitao Wu, Yonggang Liu, Jiang Peng, Zheng Chen, Yu Liu, Yi Zhang. Enhanced Hierarchical Eco-Driving Control for Electric Vehicles via Global Velocity Optimization With Road Slope Adaptation[J/OL]. IEEE Transactions on Transportation Electrification，2025，11（4）：10322-10335.

[17] 李捷; 吴晓东; 许敏; 刘永刚; 基于强化学习的城市场景多目标生态驾驶策略, 汽车工程, 2023,45(10)：1791-1802.

会议论文（5篇）

[1] Mingxing You; Yonggang Liu; Zheng Chen; Xuan Zhou; Capacity Estimation of lithium battery based on charging data and Long Short-term Memory Recurrent Neural Network, 2022 IEEE Intelligent Vehicles Symposium (IV), 德国亚琛, 2022-06-05至2022-06-09.

[2] Jianjun Cai; Yitao Wu; Jie Li; Yonggang Liu; Zheng Chen. Eco-adaptive Cruise Control for an Electric Connected Vehicle Based on Model Predictive Control and Dynamic Programming. 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI), 中国南京, 2022-10-28至2022-10-30.

[3] Yuqi He; Bo Yang; Yonggang Liu; Zheng Chen; Research on Charging Control Strategies of Lithium-ion Batteries Considering Electrochemical Characteristics. 2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2024.

[4] Jialin He; Yonggang Liu; Heng Li; Yi Zhang. Reinforcement Learning-Based Cooperative Eco-Driving Control for Intelligent Connected Heterogeneous Vehicles at Intersections[J/OL]. Journal of Physics: Conference Series，2025，3125（1）：012002.

[5] Jialin He; Yonggang Liu; Zheng Chen; Yuan Jia; Jiajun Cai. Multi-Objective Torque Coordination for Four-Wheel Independently Driven Electric Vehicles Based on Sliding Mode Guided Deep Reinforcement Learning. 2025 IEEE 26th China Conference on System Simulation Technology and its Applications (CCSSTA), Shenzhen, China, 2025, pp. 170-175.

申请/授权发明专利

(1) 刘永刚; 杨博; 张宇飞, 基于电池内特性的充电方法，2022-09-30，中国, ZL202211215608.7. 授权

(2) 刘永刚; 刘港; 翟克宁, 一种不受道路条件限制的无人车编队路径规划方法，2022-9-19，中国, ZL202211138193.8. 授权

(3) 刘永刚; 马于博; 于丰宁; 翟克宁; 何文, 自动驾驶系统的多传感器信息融合方法，2023-1-28，中国, ZL202310079479.1. 授权

(4)刘永刚; 马于博; 刘港; 翟克宁; 刘刚; 叶明, 一种基于蓝牙和惯性传感器的无人自跟随装置的精确动态定位方法，2022-08-15，中国, ZL202210974622.9. 授权

(5) 刘永刚; 张昊天; 蒋风洋; 翟克宁; 何文; 陈峥, 智能汽车园区道路路径规划方法，2022-9-20，中国, ZL202211145226.1. 授权

(6) 刘永刚; 刘帅; 蔡春茂; 郝金龙; 龙美元; 李志杰,基于一维残差卷积自编码器的自动驾驶测试场景提取方法，2023-8-25，中国, ZL202311086240.3. 授权

(7) 刘永刚; 何宇麒; 潘文军; 丁磊; 姚作芳, 基于软动态时间规整的退役电池分组方法，2024-05-14，中国, ZL2024105 97649.X. 申请

科研奖励

(1) 刘永刚(2/3);新能源汽车动力系统宽域高效运行机理与智能控制研究, 云南省人民政府, 自然科学, 省部二等奖, 2023（陈峥; 刘永刚; 申江卫）.

(2) 刘永刚(1/10);高性能新能源汽车能耗优化控制关键技术及产业化应用, 广西壮族自治区人民政府, 科技进步, 省部二等奖, 2024（刘永刚; 林长波; 翟克宁; 潘文军; 张志强; 陈勇; 黄真; 马洁高; 丁磊; 刘晓宇）

研究成果清单请到重庆大学科学中心2号楼413-5查阅。

二级单位

公示

2026.02.28-2026.03.06